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The Graphic Continuum

DISTRIBUTION THE GRAPHIC CONTINUUM Histogram Confidence Interval Box & Whisker Violin Stock Fan Graphical representations of the distribution of data The Graphic Continuum shows several ways that data can be illustrated individually or combined to show relationships. Use of various shapes, chart types, and colors can help identify patterns, tell stories, and reveal relationships between different sets and types of data. Bar charts, or histograms, for example, can illustrate a distribution of data over time, but they also can show categorical or geographic differences. Scatterplots can illustrate data from a single instance or for a period, but they also can be used to identify a distribution around a mean. A Fan Chart combines a line chart for observed past data with ranges for future values This set of charts does not constitute an exhaustive list, nor do the connections represent every possible pathway for linking data and ideas. Instead, the Graphic Continuum identifies some presentation methods, and it illustrates some of the connections that can bind different representations together. The six groups do not define all possibilities: Many other useful, overlapping data types and visualization techniques are possible. TIME Connected Scatterplot Line Sparklines Horizon Stacked Area Stream History Flow Gantt Cause-Effect Timeline Flow Chart Calendar Αc-Time Track changes over time A Histogram uses columns to represent the distribution of data This chart can guide graphic choices, but your imagination can lead the way to other effective ways to present data. A Connected Scatterplot illustrates changes in ar time A Slope or Bump Chart connects categories agoss vertical axes instead of showing all points COMPARING CATEGORIES Column with Points Triangle Column Bubble Comparison Bar Column Stacked Bar Stacked Column Paired Column Paired Bar Sankey Marimekko Mosaic Waterfall Circular Column Ругаmid Nested Bubbles Gauge Bullet Heatmap Slope/Bump Dot Plot Unit Chernoff Isotype Word Cloud Stem & Leaf Compare values across categories А Марwith Columns encodes data within a geographic frame ofreference A Bubble Map uses cirdes for geographic encoding A Heatnap uses color to show high-frequenc data; a Treemap uses rectangles to show part-to-whole relationships An Arc-Time Chart presents connections across time; the Arc-Connection Chart shows connections between observaion A Heatmap NColor to show high-frequency Uses o Correlation Matrix uses the size of shapes to illustrate comelations GEOSPATIAL Non-Contiguous Cartogram Connection Map Map with Columns Map with Pe Charts Мар Choropleth Cartogram Flow Map Bubble Map Polnt Map Icon Map Isopleth Contour Vector Map Dorling Map Subway Map Relate data to its geography A Cirde-Packing diagram illustrates a hierardıy; a Dorling Map he A Pie Chart shows part-to-whole relationships uses cirdes without th explicit use of a map to show a geographic distribution s placing Pie Charts on a map illustra tes a geographic component PART-TO-WHOLE Triangle Pie Donut Arc Nightingale Sunburst Treemap Square Cloud Voronoi Treeman A Bubble Chart encodes data based on cirde size; a Bubble Map can be used to illustrate a geographic distribution Visualizations that relate the part of a variable to its total RELATIONSHIP Grouped Scatterplot Parallel Coordinates Correlation Matrix Satterplot Bubble Word Tree Arc-Connection Chord Dendrogram Hive Force-Directed Network Tree Double Tree Radial Venn Diagram Cirde Packing Illustrates correlations or relationships between variables O Jonathan Schwabish & Severino Ribecca y@jschwabish @SR_Visual_Info HI ...

The Graphic Continuum

shared by JonathanSchwabish on Sep 29
The Graphic Continuum is now on sale as a 24x36" poster: The Graphic Continuum shows nearly 90 different graphics across five main categories: Distri...


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